HCC Coding and Risk Adjustment Software
HCC Assistant by Inferscience is an integrated application that analyzes the patient’s EHR record in real-time, providing physicians and coders with on-demand risk adjustment guidance. HCC Assistant by Inferscience dramatically improves HCC coding accuracy by automating retrospective and prospective chart reviews. Physicians and coders can analyze the patient’s entire clinical record in seconds, and capture HCC codes with just a few clicks.
Capture HCC Codes in Your EHR in Three Easy Steps
A Physician Owned Company
Inferscience was founded by Dr. Sunil Nihalani with the mission to provide clinicians better HCC Coding Software tools & Risk Adjustment guidance, as well as to help them provide high quality care based on clinical guidelines, evidence-based studies and scientific data.
With over 12 years of experience working with electronic health records (EHRs), Dr. Sunil Nihalani observed how EHRs are being under-utilized in clinical practice. Moreover, the decision support capabilities available from EHR vendors require constant interaction with various pop-ups and forms that disrupts the clinician’s workflow.
Dr. Nihalani’s vision is an evidence-based clinical decision support system that can read the specific data about patients in the EHR and can offer relevant clinical advice about their unique conditions. Patients would feel confident that their care is based on widely accepted standards, and not subject to the variability of an individual clinician’s training and experience. His unique approach unlocks the potential for improving care outcomes by enabling clinicians to make evidence-based, patient-specific clinical decisions at the point of care.
Inferscience provides the only HCC Coding Software designed to give real time HCC coding guidance to providers and coders in their workflow within the EHR, the HCC Assistant.
HCC assistant parses the patient chart and shows all possible HCC related diagnoses in real-time to the provider or the coder so that HCC opportunities are not missed while documenting the patient visit. Real time risk adjustment factor (RAF) scoring within the platform suggests how codes selected will impact the RAF score for a patient thereby predicting future funding and expenditures.